Value#
synthesized.common.rules.Value
- class Value(value)#
Represents a value of a table when constructing GenericRules
Example
>>> from synthesized.common.rules import Equals, Column, Value >>> genericrule = Equals(Column("A"), Value(10))
Will create a rule that only synthesizes rows where column “A” is equal to 10`.
Methods
filter(df)Remove rows in a dataframe that are not valid under the rule.
get_augment_func(inverse, **kwargs)Return the functions needed to augment the dataframe so that the rule is covered.
get_children()- rtype
List[GenericRule]
set_meta(df_meta)to_pd_str(df_name)Get the pandas statement to be evaluated for this rule
Get the SQL statement to be evaluated for this rule
- filter(df)#
Remove rows in a dataframe that are not valid under the rule.
- Parameters
df (pd.DataFrame) – Data to filter.
- Return type
DataFrame- Returns
DataFrame with rows removed that are not valid under the rule.
- get_augment_func(inverse, **kwargs)#
Return the functions needed to augment the dataframe so that the rule is covered.
The returned object is a Dict[str, Callable], where keys are the columns where the result of the function in the values will be applied.
For example, if get_augment_func returns
{col_name: func}, it will be applied as >>> df[col_name] = df.apply(func, axis=1)- Return type
Dict[str,Callable]
- to_pd_str(df_name)#
Get the pandas statement to be evaluated for this rule
- Return type
str
- to_sql_str()#
Get the SQL statement to be evaluated for this rule
- Return type
str